Skip to content
Human resources ⇄ CRM

Greenhouse to Pipedrive integration — real-time, two-way sync

Keep Greenhouse and Pipedrive in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Greenhouse and Pipedrive

Keep the people who own accounts in Pipedrive in step with the workforce records in Greenhouse, so ownership, roles, and org structure stay current in both systems, in real time and in both directions.

Pipedrive runs on people as much as on accounts: every contact, deal, and account has an owner, and those owners are employees whose roles, teams, and status are held in Greenhouse. Greenhouse is the system of record for the workforce, from new hires to promotions to departures, and often for the candidates the business is still deciding on. When the two systems are connected only by re-keying or an overnight export, they drift apart, and the CRM ends up assigning accounts to people who have left, holding territories that no longer match the org chart, and waiting days to give a new rep access.

Stacksync syncs Files, Goals, Leads, Notes in Pipedrive with Applications, Jobs, Offers, Scorecards in Greenhouse field by field, in real time, and in both directions. You decide which system owns which fields, so Greenhouse stays authoritative on roles and org structure while Pipedrive keeps ownership and territory current, and Stacksync resolves conflicts by the rules you set.

Common use cases

  • 01 Keep Pipedrive organizations aligned with an invoicing or accounting system's customer records.
  • 02 Trigger onboarding or provisioning workflows from the synced database when a deal reaches won.
  • 03 Export Scorecards and Scheduled Interviews to a data warehouse to analyze interviewer load and interview outcomes.
  • 04 Two-way sync Candidates and Applications with Postgres so recruiting-ops apps read and update stage, status, and custom fields in SQL while recruiters stay in Greenhouse.

Common sync patterns

One directory of people

A person's name, title, email, phone, or manager corrected in either system updates the other, so both stop maintaining separate copies of the same individual.

Where Greenhouse tracks people the business also engages: contacts stay in sync

A person recorded in Greenhouse, such as a candidate or applicant, can create or update the matching contact in Pipedrive, so relationship history and outreach are not rebuilt from scratch when the same individual appears in both.

New team members provisioned when they are hired

When Greenhouse records a new hire, a matching user or owner is created in Pipedrive, so a new rep can start working accounts without waiting on a manual setup ticket.

What you can sync between Greenhouse and Pipedrive

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Greenhouse objects Pipedrive objects How this pairing syncs
Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. Notes Free-form context on deals, persons, and organizations; usually read-only. Scorecards is specific to Greenhouse and Notes to Pipedrive — each maps to any object or custom field on the other side.
Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. Pipelines Synced with incremental and full sync per the Stacksync docs. Scheduled Interviews is specific to Greenhouse and Pipelines to Pipedrive — each maps to any object or custom field on the other side.
Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. Deals Pipeline records with stage and value; the primary object for reporting and win-triggered automation. Users is specific to Greenhouse and Deals to Pipedrive — each maps to any object or custom field on the other side.
Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. Persons Contact records; synced with marketing tools and enriched from external data. Departments and Offices is specific to Greenhouse and Persons to Pipedrive — each maps to any object or custom field on the other side.
Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. Organizations Company records linked to persons and deals; matched to billing customers. Candidates is specific to Greenhouse and Organizations to Pipedrive — each maps to any object or custom field on the other side.
Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. Activities Calls, meetings, and tasks; read out for rep activity reporting. Applications is specific to Greenhouse and Activities to Pipedrive — each maps to any object or custom field on the other side.

How changes propagate between Greenhouse and Pipedrive

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Greenhouse Pipedrive Sub-second propagation

DetectionGreenhouse notifies Stacksync of record changes through webhook events. HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after /.

DeliveryEach detected change is written to Pipedrive through its API, with automatic retries and rate-limit backoff.

Pipedrive Greenhouse Sub-second propagation

DetectionPipedrive notifies Stacksync of record changes through webhook events. Webhooks on per-object create, update, and delete events, with polling on update timestamps.

DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Greenhouse: Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
  • Pipedrive: Request budgets vary by plan and authentication method.
What ships with Greenhouse ⇄ Pipedrive

Connect Greenhouse and Pipedrive for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–Pipedrive connection.

Real-time

Two-way sync

Changes in Greenhouse or Pipedrive instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Greenhouse or Pipedrive data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Greenhouse or Pipedrive record.

Observability

Monitoring

Track your Greenhouse ⇄ Pipedrive sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Greenhouse and Pipedrive.

How the Greenhouse and Pipedrive connectors work

Greenhouse

Integration surface
Harvest REST API (plus read-only Job Board API and the Ingestion API for bulk candidate import)
Authentication
HTTP Basic Auth with a Harvest API key (key as username, blank password, colon appended then Base64-encoded); write calls require an On-Behalf-Of header naming the Greenhouse user
Change detection
HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters
Capabilities
read · write · webhooks
Rate limits
Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
Greenhouse setup guide

Pipedrive

Integration surface
REST API
Authentication
No-code guided connection: create a connection, select Pipedrive, then click "Allow and Install" (OAuth-style app install; docs do not name the protocol)
Change detection
Webhooks on per-object create, update, and delete events, with polling on update timestamps
Capabilities
read · write · webhooks
Rate limits
Request budgets vary by plan and authentication method.
Pipedrive setup guide
How it works

How to connect Greenhouse to Pipedrive — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Greenhouse and Pipedrive with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Greenhouse connected
    Pipedrive connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Greenhouse and Pipedrive objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Greenhouse ⇄ Pipedrive
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Greenhouse Pipedrive
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Greenhouse and Pipedrive integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 523 integrations available for Greenhouse and Pipedrive.

Popular · 7 of 523
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.